Selection of Robotic Machining Parameters with Pneumatic Feed Force Progression

The subject matter of the above paper presents part of the research carried out as part of the robotization of the manufacturing processes of aircraft engine components. The paper concerns robotic deburring of the V2500 diffuser’s sharp edges. The diffuser is a precision casting characterized by a slight variation in the geometry of the workpiece depending on the accuracy of the casting molds and the phenomenon of shrinkage during solidification. Due to the small degree of deburring and thus low cutting forces, robotic machining with the FDB150 tool was used. This tool is characterized by compliance with adjustable force, which enables machining of workpieces with a randomly changing shape. The authors of the paper propose a procedure for carrying out work allowing for the selection of suboptimal process parameters. In the analyzed case, these parameters are the speed of movement of the characteristic point of the tool (TCP) and the tool/workpiece contact force. The proposed procedure for determining the parameters of the force and speed of movement allowed for indicating a set of parameters ensuring the performance of the product in accordance with the requirements defined in the documentation. The proposed solution is of an engineering nature and is not a classic search for the extreme of a function from the point of view of the adopted criteria (quality indicators). Its advantage is simplicity, which is very important from the point of view of an industrial application.

[1]  T. He,et al.  Study on the Electrochemical Deburring for the External Surface of the Microhole Caused by Mechanical Drilling Process , 2022, Machines.

[2]  A. Burghardt,et al.  Robotic Grinding Process of Turboprop Engine Compressor Blades with Active Selection of Contact Force , 2022, Tehnicki vjesnik - Technical Gazette.

[3]  Stephen King,et al.  A Novel Approach for Porcupine Crab Identification and Processing Based on Point Cloud Segmentation , 2021, 2021 20th International Conference on Advanced Robotics (ICAR).

[4]  Bhaskaran Gopalakrishnan,et al.  Automated job shop scheduling with dynamic processing times and due dates using project management and industry 4.0 , 2021 .

[5]  Souren Mitra,et al.  Electrochemical deburring - A comprehensive review , 2020 .

[6]  Oleksandr Semeniuta,et al.  Deburring Using Robot Manipulators: A Review , 2020, 2020 3rd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS).

[7]  Tomi Wijaya,et al.  An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0 , 2018, Applied Sciences.

[8]  A. Burghardt,et al.  Experimental Study of Inconel 718 Surface Treatment by Edge Robotic Deburring with Force Control , 2017, Strength of Materials.

[9]  Andrzej Burghardt,et al.  Robot-operated quality control station based on the UTT method , 2017 .

[10]  Andrzej Burghardt,et al.  MONITORING THE PARAMETERS OF THE ROBOT-OPERATED QUALITY CONTROL PROCESS , 2017 .

[11]  A. Burghardt,et al.  Optimization of Process Parameters of Edge Robotic Deburring with Force Control , 2016 .

[12]  Fritz Klocke,et al.  Robotic finishing process – An extrusion die case study , 2015 .

[13]  J. Norberto Pires,et al.  Force control experiments for industrial applications: a test case using an industrial deburring example , 2007 .

[14]  Hui Zhang,et al.  On-Line Path Generation for Robotic Deburring of Cast Aluminum Wheels , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Sang-Min Park,et al.  An automatic tool changer and integrated software for a robotic die polishing station , 2006 .

[16]  Jeong-Du Kim,et al.  Deburring of burrs in spring collets by abrasive flow machining , 2004 .

[17]  Sanjeev Bedi,et al.  Automated Polishing of Die Steel Surfaces , 2002 .

[18]  Sung-Lim Ko,et al.  Measurement and Effective Deburring for the Micro Burrs in Piercing Operation , 2000 .

[19]  M. Elbestawi,et al.  Investigation of Die Polishing Strategies Using Five-Axis Machining Centre , 1996, Dynamic Systems and Control.

[20]  Yoshimi Takeuchi,et al.  Automated polishing process with a human-like dexterous robot , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[21]  J. Matuszak,et al.  Analiza sił w procesie obróbki krawędzi szczotkami ceramicznymi , 2017 .

[22]  M. Kazimierczak,et al.  Automatyzacja fazowania i zatępiania krawędzi uzębień kół zębatych , 2015 .

[23]  D. Szybicki,et al.  Wybrane problemy współczesnej robotyki , 2014 .

[24]  M. Kuzinovski,et al.  Metody wykonywania fazek i gratowania krawędzi. Cz. 1 , 2011 .

[25]  Panos S. Shiakolas,et al.  RobSurf: A Near Real Time OLP System for Robotic Surface Finishing , 1999 .

[26]  H. Harry Asada,et al.  Design of an adaptable tool guide for grinding robots , 1985 .